Module Content

The module covers
  • Descriptive Statistics,
  • Introduction to Counting and Probability Theory,
  • Mathematics of Finance,
  • Matrices/ Linear Algebra,
  • Linear Programming.
  • In this course you will get a basic understanding of elementary mathematical concepts that are of common use in business, and learn some simple tools which are useful for dealing with business quantitatively.

Module Coordinates

  • Lecturer: Dr. Kirsten Pfeiffer
  • Lectures: Monday 12:00 in AC215, Friday 15:00 in AM150
  • Tutorials: Tuesday at 9am: ENG2002 (Engineering Building), Wednesday at 3pm: MY125 (Aras Moyola)
  • Recomended text: College Mathematics for Business, Economics, Life Sciences & Social Sciences by Barnett, Ziegler & Byleen , Statistics for Business & Economics by McClave, Benson, Sincich.
  • Problem sheet: available here.
  • Module Website: Information and module documents will be posted to this site, which is linked from the Blackboard MA208 Quantitative Techniques for Business pages. Blackboard will also be used for announcements and for posting grades.
  • Module Assessment

    • The end of semester exam is worth 70% of the total assessment. It will consist of five questions corresponding to the above five topics.
    • The Continuous assessment is worth 30% of the total assessment. It will consist of four homework exercises on WeBWorK.

    Supplementary Material and News

    Clicker opinion polling may be used in some lectures.

      Further support may be obtained from the SUMS centre (Aras de Brun) on Mon-Fri afternoons or Wednesday evenings.

        Lecture Notes

        Lecture Notes
        (click on number)

        Lecture Summaries
        1
        We talked about the nature of this module and introduced some statistics terminology and graphical methods to describe and analyse data, i.e. dot plots, bar charts, pie charts and histograms.
        2
        We introduced another graphical display (Stem and Leaf Plot) and moved on to numerical methods to describe and analyse data, i.e. measures of centre and measures of spread. We finished the lecture by working out examples of common summary tools, the Five Number Summary and the Boxplot.
        3
        Introduced more measures of centre (i.e. Arithmetic, Harmonic, Geometric, Weighted Mean, Mode) and the Standard Deviation. We finished considering the question if an IQ score of 135 is may be considered 'unusual'.
        4
        We discussed Chebyshev's Inequality, introduced the Coefficient of Variation and worked on some questions from past exam papers.
        5
        We studied some basic principles from Counting and Combinatorics, i.e. the additive principle and the multiplicative principle, and learned how to calculate the number of permutations or combinations of n distinct objects taken r at a time.
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